Artificial intelligence continues to drive breakthroughs across biotech research and diagnostics. Researchers from the Salk Institute and UC San Diego unveiled novel AI tools like ShortStop and an imaging analyzer requiring minimal data, enabling unprecedented discovery of microproteins and cost-effective medical image analysis respectively. The integration of AI with machine learning also accelerated protein design for T-cell immunotherapies, combining computational power with biological innovation. In clinical settings, new AI-based multimodal deep learning frameworks predict thyroid cancer spread from ultrasound data, while natural language processing models improve patient care insights through automated review analysis. These developments highlight AI’s expanding role in streamlining discovery, diagnostics, and personalized treatment strategies in biotechnology.